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Nfl Statistician Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ... Ideate, develop and improve machine learning and statistical models that drive Swish's core ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ... Ideate, develop and improve machine learning and statistical models that drive Swish's core ...

Trading Interview

$90 - $140/hr

Minimum of a Bachelor's degree, preferably in a technical discipline such as mathematics, statistics, computer science, physics, economics, etc. * Interest in some subset of - NFL, NBA, NCAAF, NCAAM ...

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$86.9K

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How much do nfl statistician jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nfl statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is an NFL statistician?

An NFL Statistician is responsible for collecting, analyzing, and interpreting data related to football games. They track player performances, team statistics, and game trends in real time or after games for reporting and analysis. Their work supports broadcasters, coaches, analysts, and front offices in making data-driven decisions. Statisticians may work for teams, media organizations, or the league itself, ensuring accurate and comprehensive statistical records.

What does an NFL statistician do?

NFL Statisticians are responsible for collecting, analyzing, and verifying game data in real time, often working closely with coaches, analysts, and media teams. Their day-to-day tasks include tracking player performance, maintaining up-to-date databases, preparing reports, and generating statistical insights that inform team decisions or enhance broadcasts. Statisticians may also review and correct any discrepancies in game logs and contribute to pre- and post-game analysis. During game days, accuracy and speed are critical, as live updates require careful attention and quick data entry. Collaboration with other staff members is common, making clear communication and teamwork essential for success in this role.

What skills and qualifications are needed to thrive as an NFL statistician?

To thrive as an NFL Statistician, you need a strong background in mathematics, statistics, and data analysis, usually supported by a relevant degree in statistics, mathematics, or sports analytics. Familiarity with statistical software (such as R, Python, or SQL), data visualization tools, and NFL-specific databases is typically expected. Exceptional attention to detail, analytical thinking, and effective communication skills help statisticians convey complex information clearly to coaches, teams, and media. These qualifications are crucial to ensure accurate data collection, insightful analysis, and meaningful contributions to team strategies and broadcasts.

Does the NFL hire statisticians?

The NFL employs statisticians and data analysts to support team performance analysis, game strategy, and player evaluation. These roles often require skills in data collection, statistical software, and sports analytics. Opportunities may be available with teams, the league office, or sports analytics firms working with the NFL.

How much do NFL statisticians make?

NFL statisticians typically earn between $30,000 and $70,000 annually, depending on experience, responsibilities, and whether they work full-time or part-time. Many statisticians in sports also supplement their income through freelance work or by working for multiple teams or media outlets, often using data analysis tools and statistics software.

How to become an NFL statistician?

To become an NFL statistician, candidates typically need a strong background in statistics, data analysis, or sports management, often gained through a bachelor's degree in a related field. Experience with sports data, proficiency in statistical software, and knowledge of football are important; some roles may also require familiarity with tracking and data collection tools used in professional sports environments.
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Nfl Statistician jobs near you
Infographic showing various Nfl Statistician job openings in the United States as of August 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 19 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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